Job Description

Develops and/or uses algorithms and statistical predictive models and determines analytical approaches and modeling techniques to evaluate scenarios and potential future outcomes

Performs analyses of structured and unstructured data to solve multiple and/or complex business problems utilizing advanced statistical techniques and mathematical analyses and broad knowledge of the organization and/or industry

Collaborates with business partners to understand their problems and goals, develop predictive modeling, statistical analysis, data reports and performance metrics

Develops and participates in presentations and consultations to existing and prospective constituents on analytics results and solutions

Interacts with internal and external peers and managers to exchange complex information related to areas of specialization

Use strong knowledge in algorithms and predictive models to investigate problems, detect patterns and recommend solutions

Use strong programming skills to explore, examine and interpret large volumes of data in various forms

Pay Range
The typical pay range for this role is:
Minimum: 90,000
Maximum: 180,000

Please keep in mind that this range represents the pay range for all positions in the job grade within which this position falls. The actual salary offer will take into account a wide range of factors, including location.

Required Qualifications
3+ years of relevant analytic experience

3+Experience programming using R or Python

3+Experience in SAS or SQL

Preferred Qualifications
Demonstrates strong ability to communicate technical concepts and implications to business partners

Anticipates and prevents problems and roadblocks before they occur

Strong knowledge of advanced analytics tools and languages to analyze large data sets from multiple data sources

Demonstrates proficiency in most areas of mathematical analysis methods, machine learning, statistical analyses, and predictive modeling and in-depth specialization in some areas

Education
Bachelor's degree or equivalent work experience in Mathematics, Statistics, Computer Science, Business Analytics, Economics, Physics, Engineering, or related discipline.

Master’s degree or PhD preferred

Business Overview
Bring your heart to CVS Health Every one of us at CVS Health shares a single, clear purpose: Bringing our heart to every moment of your health. This purpose guides our commitment to deliver enhanced human-centric health care for a rapidly changing world. Anchored in our brand — with heart at its center — our purpose sends a personal message that how we deliver our services is just as important as what we deliver. Our Heart At Work Behaviors™ support this purpose. We want everyone who works at CVS Health to feel empowered by the role they play in transforming our culture and accelerating our ability to innovate and deliver solutions to make health care more personal, convenient and affordable. We strive to promote and sustain a culture of diversity, inclusion and belonging every day. CVS Health is an affirmative action employer, and is an equal opportunity employer, as are the physician-owned businesses for which CVS Health provides management services. We do not discriminate in recruiting, hiring, promotion, or any other personnel action based on race, ethnicity, color, national origin, sex/gender, sexual orientation, gender identity or expression, religion, age, disability, protected veteran status, or any other characteristic protected by applicable federal, state, or local law. We proudly support and encourage people with military experience (active, veterans, reservists and National Guard) as well as military spouses to apply for CVS Health job opportunities.

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